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All (7)

All (7) ((7 results))

  • Journals and periodicals: 92-395-X
    Description:

    This report describes sampling and weighting procedures used in the 2001 Census. It reviews the history of these procedures in Canadian censuses, provides operational and theoretical justifications for them, and presents the results of the evaluation studies of these procedures.

    Release date: 2004-12-15

  • Articles and reports: 12-002-X20040027032
    Description:

    This article examines why many Statistics Canada surveys supply bootstrap weights with their microdata for the purpose of design-based variance estimation. Bootstrap weights are not supported by commercially available software such as SUDAAN and WesVar, but there are ways to use these applications to produce boostrap variance estimates.

    The paper concludes with a brief discussion of other design-based approaches to variance estimation as well as software, programs and procedures where these methods have been employed.

    Release date: 2004-10-05

  • Public use microdata: 56M0002G
    Description:

    This guide is for the Household Internet Use Survey microdata file. The Household Internet Use Survey is being conducted by Statistics Canada on behalf of Industry Canada. The information from this survey will assist the Science and Technology Redesign Project at Statistics Canada to fulfil a three-year contractual agreement between them and the Telecommunications and Policy Branch of Industry Canada. The Household Internet Use Survey is a voluntary survey. It will provide information on the use of computers for communication purposes, and households' access and use of the Internet from home.

    The objective of this survey is to measure the demand for telecommunications services by Canadian households. To assess the demand, we measure the frequency and intensity of use of what is commonly referred to as "the information highway" among other things. This was done by asking questions relating to the accessibility of the Internet to Canadian households both at home, the workplace and a number of other locations. The information collected will be used to update and expand upon previous studies done by Statistics Canada on the topic of the Information Highway.

    Release date: 2004-09-28

  • Surveys and statistical programs – Documentation: 21-601-M2004072
    Description:

    The Farm Product Price Index (FPPI) is a monthly series that measures the changes in prices that farmers receive for the agriculture commodities they produce and sell.

    The FPPI was discontinued in March 1995; it was revived in April 2001 owing to continued demand for an index of prices received by farmers.

    Release date: 2004-09-28

  • Articles and reports: 11-522-X20020016708
    Description:

    In this paper, we discuss the analysis of complex health survey data by using multivariate modelling techniques. Main interests are in various design-based and model-based methods that aim at accounting for the design complexities, including clustering, stratification and weighting. Methods covered include generalized linear modelling based on pseudo-likelihood and generalized estimating equations, linear mixed models estimated by restricted maximum likelihood, and hierarchical Bayes techniques using Markov Chain Monte Carlo (MCMC) methods. The methods will be compared empirically, using data from an extensive health interview and examination survey conducted in Finland in 2000 (Health 2000 Study).

    The data of the Health 2000 Study were collected using personal interviews, questionnaires and clinical examinations. A stratified two-stage cluster sampling design was used in the survey. The sampling design involved positive intra-cluster correlation for many study variables. For a closer investigation, we selected a small number of study variables from the health interview and health examination phases. In many cases, the different methods produced similar numerical results and supported similar statistical conclusions. Methods that failed to account for the design complexities sometimes led to conflicting conclusions. We also discuss the application of the methods in this paper by using standard statistical software products.

    Release date: 2004-09-13

  • Articles and reports: 11-522-X20020016740
    Geography: Province or territory
    Description:

    Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

    Release date: 2004-09-13

  • Articles and reports: 12-001-X20040016992
    Description:

    In the U.S. Census of Population and Housing, a sample of about one-in-six of the households receives a longer version of the census questionnaire called the long form. All others receive a version called the short form. Raking, using selected control totals from the short form, has been used to create two sets of weights for long form estimation; one for individuals and one for households. We describe a weight construction method based on quadratic programming that produces household weights such that the weighted sum for individual characteristics and for household characteristics agree closely with selected short form totals. The method is broadly applicable to situations where weights are to be constructed to meet both size bounds and sum-to-control restrictions. Application to the situation where the controls are estimates with an estimated covariance matrix is described.

    Release date: 2004-07-14
Data (1)

Data (1) ((1 result))

  • Public use microdata: 56M0002G
    Description:

    This guide is for the Household Internet Use Survey microdata file. The Household Internet Use Survey is being conducted by Statistics Canada on behalf of Industry Canada. The information from this survey will assist the Science and Technology Redesign Project at Statistics Canada to fulfil a three-year contractual agreement between them and the Telecommunications and Policy Branch of Industry Canada. The Household Internet Use Survey is a voluntary survey. It will provide information on the use of computers for communication purposes, and households' access and use of the Internet from home.

    The objective of this survey is to measure the demand for telecommunications services by Canadian households. To assess the demand, we measure the frequency and intensity of use of what is commonly referred to as "the information highway" among other things. This was done by asking questions relating to the accessibility of the Internet to Canadian households both at home, the workplace and a number of other locations. The information collected will be used to update and expand upon previous studies done by Statistics Canada on the topic of the Information Highway.

    Release date: 2004-09-28
Analysis (5)

Analysis (5) ((5 results))

  • Journals and periodicals: 92-395-X
    Description:

    This report describes sampling and weighting procedures used in the 2001 Census. It reviews the history of these procedures in Canadian censuses, provides operational and theoretical justifications for them, and presents the results of the evaluation studies of these procedures.

    Release date: 2004-12-15

  • Articles and reports: 12-002-X20040027032
    Description:

    This article examines why many Statistics Canada surveys supply bootstrap weights with their microdata for the purpose of design-based variance estimation. Bootstrap weights are not supported by commercially available software such as SUDAAN and WesVar, but there are ways to use these applications to produce boostrap variance estimates.

    The paper concludes with a brief discussion of other design-based approaches to variance estimation as well as software, programs and procedures where these methods have been employed.

    Release date: 2004-10-05

  • Articles and reports: 11-522-X20020016708
    Description:

    In this paper, we discuss the analysis of complex health survey data by using multivariate modelling techniques. Main interests are in various design-based and model-based methods that aim at accounting for the design complexities, including clustering, stratification and weighting. Methods covered include generalized linear modelling based on pseudo-likelihood and generalized estimating equations, linear mixed models estimated by restricted maximum likelihood, and hierarchical Bayes techniques using Markov Chain Monte Carlo (MCMC) methods. The methods will be compared empirically, using data from an extensive health interview and examination survey conducted in Finland in 2000 (Health 2000 Study).

    The data of the Health 2000 Study were collected using personal interviews, questionnaires and clinical examinations. A stratified two-stage cluster sampling design was used in the survey. The sampling design involved positive intra-cluster correlation for many study variables. For a closer investigation, we selected a small number of study variables from the health interview and health examination phases. In many cases, the different methods produced similar numerical results and supported similar statistical conclusions. Methods that failed to account for the design complexities sometimes led to conflicting conclusions. We also discuss the application of the methods in this paper by using standard statistical software products.

    Release date: 2004-09-13

  • Articles and reports: 11-522-X20020016740
    Geography: Province or territory
    Description:

    Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

    Release date: 2004-09-13

  • Articles and reports: 12-001-X20040016992
    Description:

    In the U.S. Census of Population and Housing, a sample of about one-in-six of the households receives a longer version of the census questionnaire called the long form. All others receive a version called the short form. Raking, using selected control totals from the short form, has been used to create two sets of weights for long form estimation; one for individuals and one for households. We describe a weight construction method based on quadratic programming that produces household weights such that the weighted sum for individual characteristics and for household characteristics agree closely with selected short form totals. The method is broadly applicable to situations where weights are to be constructed to meet both size bounds and sum-to-control restrictions. Application to the situation where the controls are estimates with an estimated covariance matrix is described.

    Release date: 2004-07-14
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 21-601-M2004072
    Description:

    The Farm Product Price Index (FPPI) is a monthly series that measures the changes in prices that farmers receive for the agriculture commodities they produce and sell.

    The FPPI was discontinued in March 1995; it was revived in April 2001 owing to continued demand for an index of prices received by farmers.

    Release date: 2004-09-28
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